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Workspace_variables
Whenever you ask for results at a given threshold and method (say TFCE at p<0.05), an analysis is run to threshold data and get the equivalent under the null (i.e. on bootstrapped data if you have computed them) - the figure is displayed and variables are exported in the workspace.
p_values
the p-values associated with the plotted data
stat_values
the t/F values associated with the plotted data
mask
array of significant cells (binary or N-ary for clusters)
Plotted_data
(if course plot at the subject level) reporting the summary statistics data (means, trimmed means)
- how many clusters?
max(unique(mask(:)))
- what is the p-value of cluster N?
p_values(mask == N)
- what is the largest p-value?
max(p_values(mask ~= 0))
- what is the range of significant F/t values?
[min(stat_values(mask ~= 0)) max(stat_values(mask ~= 0))]
etc ..
You can atually replot using limo_display_image(LIMO,stat_values,mask,'your own title,0)
Downsampling or not before analyzing
Defining conditions defining
~ categorical.txt ~continuous.txt
EEGLAB-STUDY: run, session, condition and group
Basic Stats: LIMO tests and CI
Repeated measures ANOVA
Results in the workspace
Results in LIMO.cache
Checking data under the plots
Reordering plots
Compute & Plot conditions
Compute & Plot differences
Channel neighbourhood
Editing a neighbourhood matrix
Scripting 1st level
Debugging 1st level errors
Skip 1st level
Scripting 2nd level
Getting stats results with a script